Title :
A Load Distribution Optimization among Turbine-generators Based on PSO-GA
Author :
Tao, Yan ; Jiatian, Xu ; Weiguo, Jiang
Author_Institution :
Jiangxi Province Electr. Power Res. Inst., Nanchang, China
Abstract :
In concern with the slow-convergence disadvantage of GA, PSO is combined with GA in this paper for a load distribution optimization among turbine-generators. By comparison with GA method, it is shown that PSO-GA is better than the GA method in the aspect of calculation speed, bearing excellent stability and fast convergence.
Keywords :
genetic algorithms; load distribution; particle swarm optimisation; turbogenerators; PSO-GA method; load distribution optimization; turbine-generator; Coal; Gallium; Generators; Genetic algorithms; Optimization; Particle swarm optimization; Power generation; PSO; PSO-GA; genetic algorithm (GA); load distribution;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location :
Shenzhen, Guangdong
Print_ISBN :
978-1-61284-289-9
DOI :
10.1109/ICICTA.2011.11
